76 to 100 of 5,020 SQL Jobs in the UK

data migration activities, including extraction, cleansing, mapping and validation. Building and testing integrations between business systems and the new ERP platform. Developing ETL processes, SQL scripts and data pipelines. Working closely with stakeholders to understand reporting requirements and deliver valuable business insights. Supporting testing, cutover and go-live activities throughout … ideally bring: Strong experience developing reports and dashboards using Power BI and DAX. Experience in data migration, data transformation and data quality initiatives. Strong SQL skills and experience working with databases and ETL tools. Experience supporting system integrations and validating data flows. Advanced Excel and data analysis skills. Strong communication ...

most complex data engineering problems. You will have experience of working with the Microsoft stack of technology and have a core skillset in SQL and Python, whilst also having the ability to influence your colleagues and drive action. You have thought about the future of data roles and will bring … operational runbooks are in place. What We're Looking For Proven experience within a modern data platform. Strong engineering background across data pipelines, SQL, data modelling, and performance tuning. Deep experience with source control and collaborative engineering practices in Git-based repositories. Experience designing and maintaining CI/ ...

call support on a rotation. Required Qualifications: Experience: 7+ years of professional experience in data engineering or a related role across GCP services SQL: Strong expertise in writing complex, optimized SQL queries for data extraction and transformation. ETL/ELT: Hands-on experience building data pipelines using frameworks like Apache ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity ...

3+ years with strong Foundry depth). Proven, hands-on experience working with Palantir Foundry in a production environment. Strong proficiency in Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity ...

hear from you if you have: 4+ years’ experience across data and analytics, including data engineering, data science, and data visualisation: Proficiency in Python, SQL, and R for data manipulation and querying Familiarity with relational databases such as SQL Server, Oracle Understanding of various data formats, including CSV, JSON ...

cloud-native data engineering technologies. Provide technical direction across data modelling, ingestion, transformation, orchestration and integration. Apply practical experience of Spark, PySpark, Python and SQL within enterprise data environments. Governance, Security & Quality Embed effective data governance, security, quality and access controls within cloud data environments. Ensure architecture decisions appropriately balance … cloud data platform. Strong understanding of modern data architecture patterns, data modelling and ETL/ELT approaches. Practical experience with Spark, PySpark, Python and SQL and the design of scalable batch and real-time data pipelines. Experience designing appropriate data governance, security and data quality controls. Experience with modern engineering ...

. Strong Power BI development and production support experience. Experience working with enterprise data platforms and cloud environments. Key Technologies AWS | Power BI | SQL | Python | S3 | Glue | Redshift | Lambda | Athena | IAM | CloudWatch | ETL/ELT | Data Modelling | CI/CD | Git | Terraform | DevOps/DataOps Mandatory requirement: Candidates must have ...

Engineers and Finance stakeholders.Contribute to engineering standards, best practices and continuous improvement initiatives.Essential Skills and ExperienceTechnicalSignificant experience delivering enterprise-scale data engineering solutions.Strong SQL and data modelling expertise.Experience with cloud data platforms, with Azure experience preferred.Experience building ELT/ETL pipelines and data integration solutions.Strong software engineering practices, including source ...

Envitia’s data engineering capability. Essential Skills & Experience Proven hands‐on experience building and supporting production‐grade data pipelines using Databricks, PySpark, Spark SQL and Delta Lake. Experience designing and implementing Lakehouse architectures, including Medallion (Bronze, Silver, Gold) data models. Expertise in developing scalable ETL/ELT pipelines capable ...

hands‐on experience with Microsoft Fabric technologies including OneLake, Lakehouse, Warehouse, Data Factory, Spark and Power BI. Strong Engineering Skills - You're proficient in SQL, Python and PySpark, with experience developing scalable and maintainable data solutions. Modern Data Platform Experience - You’ve successfully built, enhanced or operated cloud‐based data ...

reliable data pipelines and data platforms, with a strong understanding of data engineering principles and cloud-based technologies. You will be proficient in Python, SQL, and at least one ETL/ELT framework, with the ability to develop scalable solutions that support data processing, analytics, and AI-driven applications. Experience ...

embedded into business processes and decision-making.**Technical Skills:**Hands-on experience in one or more of the following areas:Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search ...

embedded into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

data analytics, statistics, accounting, computer science, or related discipline. 4+ years of relevant experience in data analytics, reporting, and visualization. Hands-on experience with SQL and NoSQL databases. Experience with data integration and exchange, transfer, load processes. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Familiarity ...

industries.ResponsibilitiesImplement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark/Spark SQL) and Real-Time IntelligenceBuild medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions and error handlingSet up ingestion … from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using ...

Java-based microservices where required Prepare, transform and validate structured and semi-structured data, including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark … data quality checks, validation processes, monitoring and logging to ensure trusted and reliable data delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2 ...

demonstrate: - Experience working as a Data Engineer, Data Developer, AI Engineer, Machine Learning Engineer or similar .- Strong programming skills in Python and SQL .- Experience designing and building scalable data pipelines and working with structured and unstructured data.- Experience leading technical workstreams or taking ownership of significant elements ...

database architecture and the fundamentals of database management and data modelling. Good understanding of base structures and the capability of languages such as T-SQL, DAX, M Language, and Python. Strong experience with the Microsoft stack whether via Azure data services or Microsoft Fabric. Able to demonstrate alignment and work ...

around the Microsoft data stack, so we’re looking for someone with strong experience across either Microsoft Fabric or Azure data services, alongside solid SQL, data modelling and ETL capabilities. What you’ll be doing Designing and building reliable data pipelines to ingest data from a range of internal … analytics Designing appropriate database structures, schemas and data models Ensuring data quality, integrity, security and performance across the data platform Working extensively with SQL and the wider Microsoft data ecosystem Supporting the development of reporting and self-service analytics solutions Building and developing Power BI dashboards where required Working with ...

analytics. The ideal candidate will have around 5-6+ years' experience in Data Engineering or a related role , with strong experience across SQL, ETL and Microsoft data technologies. You'll need to be comfortable working independently, taking ownership of your work and translating business requirements into practical technical solutions. … maintain data warehouses and data lakes . Work with Microsoft Fabric to develop and manage modern data solutions. Develop and optimise solutions using Microsoft SQL Server . Support reporting and analytics requirements, including SSIS and SSRS . Work with tools such as Fivetran and Alteryx to support data integration ...

communication skills in English. Ability to work independently and within distributed international teams. Programming Languages Technical Skills Python (Expert Level) C# JavaScript/TypeScript SQL AI & Machine Learning Machine Learning Deep Learning Neural Networks Natural Language Processing (NLP) Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Reinforcement Learning ...

controls, including data quality, data lineage, model testing, prompt testing, access controls, monitoring, explainability, human oversight and governance. Strong data analytics capability, including Python, SQL, Spark, Power BI, Tableau or equivalent tools. Ability to translate complex technical concepts into practical business risks, control implications and clear audit conclusions. Internal Audit … machine learning, Generative AI, Large Language Models (LLMs) and Agentic AI. Strong data analytics capability, including experience with platforms such as Python, SQL, Power BI, Tableau, Databricks, Palantir Foundry. Understanding of technology risks, cybersecurity principles and control frameworks. Ability to assess and test automated controls, algorithms and AI-enabled processes. ...

related field. Proven experience designing and building scalable data pipelines (ETL/ELT) for batch and streaming use cases using modern technologies (e.g., Python, SQL, Spark, Flink, Airflow) and advanced knowledge on the workings of these. Hands-on experience in building and operating workloads Databricks. Hands-on experience creating data ...

applied-data-science role, including delivery of reliable pipelines, reusable data assets and useful analytical models in Microsoft Fabric and Databricks. Advanced Python, SQL and PySpark, including experience with data transformation, analysis and common machine-learning libraries. Hands-on experience designing and operating scalable data pipelines, lakehouse data models, Delta … SQL transformations, and data-quality controls in Microsoft Fabric and Databricks. Strong grounding in exploratory data analysis, statistics, feature engineering, model selection, validation and error analysis. Practical experience with NLP, information extraction, entity resolution, embeddings or other techniques relevant to document-heavy and relationship-rich data. Good understanding of data ...